Infrared-based night intelligent vehicle front pedestrian detection method

A pedestrian detection and smart car technology, applied in the fields of intelligent transportation, computer vision and pattern recognition, can solve difficult problems such as pose and occlusion, and achieve the effects of improving robustness, reducing noise, and improving real-time performance.

Inactive Publication Date: 2016-03-16
BEIJING UNION UNIVERSITY
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Problems solved by technology

This method is more robust, but requires a lot of training data, and it is difficult to solve the problem of pose and occlusion
[0008] In summary, although the current infrared vehicle-mou

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  • Infrared-based night intelligent vehicle front pedestrian detection method
  • Infrared-based night intelligent vehicle front pedestrian detection method
  • Infrared-based night intelligent vehicle front pedestrian detection method

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Embodiment Construction

[0026] The detailed embodiment operation process is given below in conjunction with the accompanying drawings. The embodiments shown in the drawings are based on the technical solutions of the present invention, and the embodiments described in the drawings belong to but are not limited to the protection scope of the present invention.

[0027] The overall process of the inventive method is as figure 1 As shown, the main body of the method of the present invention includes two parts: offline training of the pedestrian classifier and online detection of pedestrians. Its specific implementation steps are as follows:

[0028] (1) Read the infrared image data output by the thermal imager. Figure 2a It is an example diagram of a frame of original input image in the implementation manner.

[0029] (2) Perform preprocessing such as median filtering and morphological processing on the image to filter out noise, and the size of the window is 3×3. Figure 2b for the implementation ...

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Abstract

The invention provides an infrared-based night intelligent vehicle front pedestrian detection method. The method comprises the following steps that de-noising preprocessing is performed on input infrared image sequences by utilizing a smoothing filtering method and a morphological processing technology; pedestrian preselection areas in the input image sequences are captured by a vertical projection method based on pixel gradients, and areas of interest are extracted from the pedestrian preselection areas according to pedestrian geometric features; infrared image multistage binary mode feature description areas of interest are extracted; a pedestrian classifier model is offline trained by utilizing a support vector machine algorithm; and the areas of interest are judged to be target pedestrians or backgrounds online by utilizing the classifier model. Compared with methods in the prior art, robustness of the pedestrian classifier is effectively improved by the method so that the method can detect vertical pedestrians in the still, walking or running and other movement modes and the method is also suitable for detecting human bodies riding bicycles or motorcycles, and a system realized based on the method can be applied to barrier detection for an unmanned intelligent vehicle and a wheeled robot, etc.

Description

technical field [0001] The invention belongs to the fields of computer vision, pattern recognition and intelligent transportation, and specifically relates to an infrared-based detection method for pedestrians in front of an intelligent vehicle at night. Background technique [0002] With the continuous development of artificial intelligence technology in recent years, various intelligent vehicle driving systems have emerged in an endless stream, and have received more and more attention from relevant scholars at home and abroad in recent years. With the rapid growth of the number of motor vehicles, it has brought great convenience to people's life and travel, but the resulting road traffic accidents have caused huge losses to people's lives, properties and national economies in various countries every year. Especially the accidents that occur at night or in cloudy conditions are particularly serious (Xu Teng, Huang Tiejun, Tian Yonghong. A review of pedestrian detection tec...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/58
Inventor 鲍泓刘丽娄海涛
Owner BEIJING UNION UNIVERSITY
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